Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/731
Title: Fingerprint Authentication Based K-net Model
Authors: Sara Abdul Aziz Al-Awadh 
Supervisor: Prof. Maytham Safar
Keywords: Fingerprint : K-net
Issue Date: 2018
Publisher:  Kuwait university - college of graduate studies
Abstract: Many payment methods and systems such as PayPal, Google wallet, Apple Pay, K-net are used for paying over the internet. Payment methods are considered as the prime factors of E-commerce, and the security of banking transactions. Further, user acceptance is the main issue when dealing with Ecommerce revolution. “Biometrics” was introduced earlier to banking systems to overcome those challenges as in ATM machines. It is already developed and implemented at some countries to show a great impact on users regarding usability and security. This research is mainly concerned with developing a new Payment Model based on fingerprint authentication as a biometric input, and a new matching algorithm to be used for approving the payment process by matching the biometric input. The proposed model is targeted to K-net webpages as an addition to the existing regular data inputting. The model will allow the user to scan his/her fingerprints using his/her smartphone (only smartphones with embedded fingerprint scanner). The fingerprint then will be associated with all information related to the user including his name, credit cards account number, expiration date and password. All cards would be managed by user’s fingerprints only as an authentication parameter to pay over K-net page with accepted secured measurements
URI: http://hdl.handle.net/123456789/731
Appears in Programs:0612 Computer Engineering

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